Implementing OpenTelemetry at the core of our observability strategy for Causely’s SaaS product was a natural decision. This post shares context on our rationale and how the combination of OpenTelemetry and causal reasoning underpin our platform.
In this DevOps Toolkit episode, Endre Sara joins Viktor Farcic for an Ask Me Anything session.
This production-focused guide offers an understanding of what OpenTelemetry is, its core components, and a detailed look at the OTel Collector.
Shmuel talks with Techstrong.tv's Alan Shimel about Causely launching its integration with OpenTelemetry, which has redefined observability by standardizing how telemetry data is collected and processed.
Causely is a new player on the observability scene. The main problem their platform addresses is that modern teams are drowning in too many alerts and too much data coming from multiple observability solutions across open-source and 3rd party vendors.
Causely is announcing its integration with OpenTelemetry, bringing a fresh approach to observability that cuts through the noise and surfaces only what matters.
View the original article on CIODive. I’ve spent over three decades in IT Operations. Despite all the talk of transformation, many of the fundamental challenges remain unchanged, or have even worsened. The rise of modern DevOps and observability promised to revolutionize how we monitor and maintain systems, but in
In this 10KMedia Podcast interview, Adam sits down with Shmuel to discuss the problems with traditional observability, the importance of OpenTelemetry, and how Causely is helping teams find the signal in the noise.
Causely, the causal reasoning platform for modern engineering teams, today launches a native integration with OpenTelemetry.
Bridging the gap between observability data and actionable insight
We’ll introduce the 6 common components and 7 AI Workers of our Causal Reasoning Platform, explaining how the platform works to enable autonomous service reliability.
Collecting “more data” has been the defining characteristic of observability practices and tools for the last few decades. But over-collection creates inefficiencies, noise, and cost without adding meaningful value. This trajectory must and can be changed.